LeucipPy: Protein Geometry Correlations

WCCC


Artificial pdb data

Histograms

Scatters

A B stat=0.0 p-value=[nan,nan]

A C stat=0.104 p-value=[0.685,0.685]

A D stat=0.884 p-value=[1.0,1.0]

A E stat=0.89 p-value=[1.0,1.0]

A F stat=0.17 p-value=[0.955,0.955]

B C stat=0.0 p-value=[nan,nan]

B D stat=0.0 p-value=[nan,nan]

B E stat=0.0 p-value=[nan,nan]

B F stat=0.0 p-value=[nan,nan]

C D stat=0.103 p-value=[0.923,0.923]

C E stat=0.101 p-value=[0.814,0.814]

C F stat=0.095 p-value=[0.531,0.531]

D E stat=0.854 p-value=[1.0,1.0]

D F stat=0.154 p-value=[0.702,0.702]

E F stat=0.161 p-value=[0.906,0.906]

Real pdb data

Histograms

Scatters

N:CA CA:C stat=0.31 p_value=0.994

N:CA C:O stat=0.282 p_value=0.689

N:CA C:N+1 stat=0.298 p_value=0.656

N:CA C-1:N stat=0.312 p_value=0.996

N:CA N:N+1 stat=0.305 p_value=1.0

N:CA N:CA:C:N+1 stat=0.289 p_value=1.0

CA:C C:O stat=0.288 p_value=0.865

CA:C C:N+1 stat=0.306 p_value=0.888

CA:C C-1:N stat=0.308 p_value=0.908

CA:C N:N+1 stat=0.288 p_value=0.95

CA:C N:CA:C:N+1 stat=0.275 p_value=1.0

C:O C:N+1 stat=0.286 p_value=0.965

C:O C-1:N stat=0.282 p_value=0.816

C:O N:N+1 stat=0.268 p_value=0.925

C:O N:CA:C:N+1 stat=0.254 p_value=0.992

C:N+1 C-1:N stat=0.303 p_value=0.878

C:N+1 N:N+1 stat=0.294 p_value=0.999

C:N+1 N:CA:C:N+1 stat=0.271 p_value=0.992

C-1:N N:N+1 stat=0.301 p_value=1.0

C-1:N N:CA:C:N+1 stat=0.285 p_value=1.0

N:N+1 N:CA:C:N+1 stat=0.721 p_value=1.0


LeucipPy by Rachel Alcraft ~ supervisor Mark A Williams ~ Birkbeck, University of London (2021) ~ Follow citation guidance